About the Company:

Construction Specialties manufactures and sells specialty architectural products internationally, with over 30 locations in 20 countries worldwide. Its products include interior wall and door protection, entrance flooring, expansion joint covers, louvers, grilles, sun controls, specialty venting and privacy track/curtains. The company serves architects and designers, building owners, facility managers and contractors. Construction Specialties, Inc. was founded in 1948 and is headquartered in Lebanon, New Jersey.

Position Summary

The Delivery Assurance Manager will drive high-quality, consistent, and predictable delivery across the organization by combining strong Quality Assurance leadership with a structured Delivery Assurance framework. This role spans 70% Quality Assurance Leadership and 30% Delivery Assurance Framework & Governance. The role is expected to transform QA into a proactive, automation-first, and AI-assisted function, while building standardized delivery processes that ensure repeatability, compliance, predictability, and improved business outcomes.

Key Responsibilities

1. Quality Assurance Leadership (70%)

·       Define and implement a comprehensive QA strategy aligned with organizational delivery goals, embedding automation-first and AI-enabled practices.

·       Standardize QA methodologies, processes, and quality benchmarks across delivery streams.

·       Oversee end-to-end QA lifecycle including test planning, execution, defect management, and reporting.

·       Implement QA governance through periodic audits, reviews, and process adherence checks.

·       Drive adoption of AI/GenAI-enabled QA practices, including test case generation, defect prediction, test optimization, and automated documentation.

·       Evaluate and implement modern QA tools such as self-healing automation frameworks and AI-driven testing platforms.

·       Build, mentor, and lead a high-performing QA team with focus on automation and AI capability development.

·       Strategize AI usage in all Quality Assurance related processes

·       Drive automation Quality Assurance

·       Preparing the Quality dashboards and publishing them to Senior Management

·       Strengthen stakeholder collaboration across Delivery, PMO, Business, and Technology teams.

·       Proactively identify risks and drive mitigation plans using data-driven insights.

·       Track QA metrics and continuously improve quality and productivity.

2. Delivery Assurance Framework (30%)

·       Design and implement a scalable Delivery Assurance framework to ensure consistent and predictable outcomes.

·       Establish standardized processes and governance mechanisms across delivery teams.
Define and enforce compliance and quality standards across projects.

·       Strategize and implement the usage of AI to improve Delivery Processes

·       Build delivery dashboards and KPIs to enable performance monitoring and decision-making.

·       Introduce data-driven and predictive insights into delivery health tracking.

·       Conduct governance reviews and audits to ensure adherence to frameworks.

·       Analyze delivery trends and drive continuous improvement initiatives.

·       Ensure a Quality mindset in the teams; work towards a better FCR and sustained Knowledge Retention among teams

·       Continuously improve the factors that strengthen delivery assurance.

Key Skills & Competencies

Quality Engineering & QA:
• Strong experience in QA methodologies, test strategy, and automation practices.
• Experience transitioning from traditional QA to quality engineering practices.
 

AI Mindset in QA (Strong Exposure Preferred):
• Working knowledge of AI/ML concepts relevant to testing.
• Exposure to AI-enabled QA tools or GenAI use cases such as test case generation and analysis.
• Ability to identify practical AI use cases in QA and drive adoption.
• Strong inclination and capability to ramp up in AI-driven QA practices.

 Leadership & Collaboration:
• Proven ability to lead QA teams in complex delivery environments.
• Strong stakeholder management and influencing skills.
• Ability to drive cross-functional adoption of quality practices.

Analytical & Execution:
• Strong analytical and problem-solving skills.
• Data-driven decision-making mindset.

Soft Skills      

·       Ability to lead and motivate personnel

·       Strong organizational skills

·       Strong analytical skills

Success Metrics for the Role

Quality & Delivery Outcomes:
• Reduction in defect leakage and rework.
• Improved first-time-right delivery quality.
• Increased delivery predictability and consistency.

Automation & AI Adoption:
• Increased automation and AI-led test coverage.
• Reduction in manual effort and QA cycle time.

Governance & Compliance:
• High adherence to quality, compliance, and governance standards.
• Reduction in audit gaps and risks.

Stakeholder & Customer Satisfaction:
• Strong collaboration and alignment with Delivery, PMO, and Business teams.
• Measurable improvement in CSAT/NPS across stakeholders.
• Positive shift in perception of QA as a value-adding partner.

Experience & Qualifications

• Bachelor’s/Master’s degree in Computer Science or related field.
• 12–15+ years of experience in IT delivery with strong QA leadership exposure.
• Experience in defining QA strategies and delivery assurance frameworks.
• Certifications such as ISTQB, PMP, Agile, or AI/ML foundation are an advantage.